Memgraph In-Memory Graph Database for GraphRAG

Memgraph Ltd develops an in-memory graph database positioned as the graph engine for AI context. The company, venture-backed by M12, Heavybit and IQT, has described London as its headquarters with an R&D centre in Zagreb, and aims to put the problem-solving power of graphs in everyone's hands.

Memgraph keeps graphs in memory for sub-millisecond traversals while staying ACID compliant with persistence, and is queried with Cypher, offering a migration path from Neo4j. It adds vector and text search, dynamic graph algorithms through MAGE, ZeroETL ingestion and the Memgraph Lab visual interface, and supports GraphRAG, AI memory and agentic AI use cases as well as fraud detection, data lineage, identity management and supply chain analytics. Users include NASA, Capitec, Cedars-Sinai, Microchip and Tencent.

• In-memory graph engine: Cypher queries with sub-millisecond traversals and ACID persistence.
• Vector and text search: faster search plus remote embedding providers for GraphRAG.
• MAGE algorithms: graph algorithms including Leiden community detection and GNN model import.
• Multi-tenancy: per-database memory limits, fine-grained access control and Kerberos SSO.
• High availability: coordinators with runtime-tunable failover and health checks.
• Memgraph Lab: visual interface for querying, exploring and documenting graph schemas.

• Vietnamese banks and e-wallets detecting fraud rings and mule accounts in real time.
• Enterprises building GraphRAG assistants over internal knowledge graphs.
• Manufacturers and distributors analysing supply chain dependencies and data lineage.

• Sub-millisecond graph traversals and 1,000+ read and write transactions per second.
• Handles graphs from 100 GB to 4 TB with ACID guarantees and persistence.
• Capitec scores more than 3.5 million clients daily, with its pipeline finishing in about two hours on average.
• Free Community Edition lowers the cost of starting graph and GraphRAG projects.

GraphRAG and knowledge graphs are emerging as a way to give LLMs precise, connected context, while banks keep investing in graph analytics for real-time fraud detection. Financial institutions and fintechs in Vietnam and Southeast Asia face rising digital fraud and need relationship-aware analytics.

Memgraph Ltd; headquarters described as London with an R&D centre in Zagreb (2021 company blog). Founders Dominik and Marko. Venture-backed by M12, Heavybit and IQT. Memgraph 3.0 released February 2025 and 3.10 in May 2026.